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The global logistics industry is "unsophisticated" and due for a major shake-up, according to the boss of a cargo-handling giant. Mika Vehvilainen, chief executive of Finnish company Cargotec, expects autonomous vehicles and artificial intelligence to disrupt the market in coming years. "But it's also, from an operating cost point-of-view, clearly [beneficial] – about 40 per cent of port operating costs today in the Western world are labour costs. Meanwhile, the chief executive said his business had been negatively affected by the UK's Brexit vote last year.

In March this year, PWC released a report saying that 10 million UK jobs are at risk of being replaced by AI within 15 years. Insurance companies are already dinosaurs and while we will still need insurance, we don't need our current insurance companies. Those expensive on-site skilled jobs are gone forever, replaced by massive automation and AI from mining operations to plant operations to administration. Australia, as a home of the corporate oligopoly, suffers the associated elitism, complacency, lack of innovation and resistance to change which are characteristics of all oligopolies.

Nvidia has benefitted from a rapid explosion of investment in machine learning from tech companies. Can this rapid growth in the use cases for machine learning continue? Recent research results from applying machine learning to diagnosis are impressive (see "An AI Ophthalmologist Shows How Machine Learning May Transform Medicine"). Your chips are already driving some cars: all Tesla vehicles now use Nvidia's Drive PX 2 computer to power the Autopilot feature that automates highway driving.

Over the next 15 years, AI technologies will continue to make inroads in nearly every area of our lives, from education to entertainment, health care to security. "Now is the time to consider the design, ethical, and policy challenges that AI technologies raise," said Grosz. The report investigates eight areas of human activity in which AI technologies are already affecting urban life and will be even more pervasive by 2030: transportation, home/service robots, health care, education, entertainment, low-resource communities, public safety and security, employment, and the workplace. Some of the biggest challenges in the next 15 years will be creating safe and reliable hardware for autonomous cars and health care robots; gaining public trust for AI systems, especially in low-resource communities; and overcoming fears that the technology will marginalize humans in the workplace.

"Highly autonomous cars and everything they connect to will require powerful and reliable electronic brains to make them smart enough to navigate traffic and avoid accidents," Intel Chief Executive Brian Krzanich said last Friday at a joint news conference announcing the alliance. It is too early to say which other carmakers would join the alliance, BMW Chief Executive Harald Krueger said at a news conference on the outskirts of Munich on Friday. But creating common technology standards would help all manufacturers update their vehicles faster, Intel Chief Executive Brian Krzanich said. Auto camera and software maker Mobileye will supply its Road Experience Management (REM) technology and make its latest EyeQ5 chip available to be deployed on Intel computing platforms.

If you'd like to read more about the awesome potential of machine learning, check out the article in the link below: The era of globalization has brought about both advantages and disadvantages. With the variety of cutting-edge technology available at the UA Lighthouse, the company wants to develop best practices for all of its products that are made domestically and abroad. To hear more about what the industry is saying about the UK's recent decision, check out the article in the link below: In the past few years, there's been a greater and greater focus on autonomous cars and commercial vehicles. At the recent Autonomous Ship Technology Symposium 2016 in Amsterdam, Rolls Royce released a white paper that details how autonomous freight ships are technically and economically feasible.

Artificial intelligence in Korea is currently prospering. The media is regularly reporting AI-enabled products such as smart advisors, personal robots, autonomous cars, and human-level intelligence machines. The Ministry of Science, ICT, and Future Planning (MSIP) has launched new funding programs in AI and cognitive science to implement the government's newly adopted endeavor of building a "Creative Economy" and "Software Centric Society". Similar to the history of AI worldwide, AI research and industry in Korea have faced both the ups and downs in its history.